Trademark_Appeals

TF-IDF & XGBoost for Trademark Appeals

This is a python code for the paper "Intelligent Forecasting of Trademark Registration Appeal with TF-IDF and XGBoost"

If you want to run the code, you need to install the packages by running:

pip install -r requirements.txt

to run the code

python main.py

You can find the model in the folder "output" which is 68% accuracy on the test set.

If you want to get access to dataset,pls contact our corresponding author's email at gxthdu@gmail.com or 202230311326@stu.shmtu.edu.cn

you can fork and running the raw code directly on kaggle

If you find this work useful for your research and applications, please cite using this BibTeX:

@incollection{wang2024trademarkappeals,
    title={Intelligent Forecasting of Trademark Registration Appeal with TF-IDF and XGBoost},
    author={Wang, Qun and Qian, ShuHao and Yan, JiaHuan and Wang, Hao and Guo, XiaoTao},
    editor={Cruz, Carlos and Zhang, Yong and Gao, Wen},
    booktitle={Intelligent Computers, Algorithms, and Applications},
    series={Communications in Computer and Information Science},
    volume={2036},
    pages={343--355},
    publisher={Springer, Singapore},
    year={2024},
    doi={10.1007/978-981-97-0065-3_25}
}